{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Developing Advanced User Interfaces\n",
    "*Using Jupyter Widgets, Pandas Dataframes and Matplotlib*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "While BPTK-Py offers a number of high-level functions to quickly plot equations (such as `bptk.plot_scenarios`) or create a dashboard (e.g. `bptk.dashboard`), you may sometimes be in a situation when you want to create more sophisticated plots (e.g. plots with two axes) or a more sophisticated interface dashboard for your simulation. \n",
    "\n",
    "This is actually quite easy, because BPTK-Py's high-level functions already utilize some very powerfull open source libraries for data management, plotting and dashboards: Pandas, Matplotlib and Jupyter Widgets.\n",
    "\n",
    "In order to harness the full power of these libraries, you only need to understand how to make the data  generated by BPTK-Py available to them. This _How To_ illustrates this using a neat little simulation of customer acquisition strategies. You don't need to understand the simulation to follow this document, but if you are interested you can read more about it on our [blog](https://www.transentis.com/an-example-to-illustrate-the-business-prototyping-methodology/). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Advanced Plotting\n",
    "\n",
    "We'll start with some advanced plotting of simulation results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Load the BPTK Package\n",
    "from BPTK_Py.bptk import bptk \n",
    "\n",
    "bptk = bptk()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "BPTK-Py's workhorse for creating plots is the `bptk.plot_scenarios`function. The function generates all the data you would like to plot using the simulation defined by the scenario manager and the settings defined by the scenarios. The data are stored in a Pandas dataframe. When it comes to plotting the results, the framework uses Matplotlib. To illustrate this, we will recreate the plot below directly from the underlying data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    " bptk.plot_scenarios(\n",
    "        scenario_managers=[\"smCustomerAcquisition\"],\n",
    "        scenarios=[\"base\"], \n",
    "        equations=['customers'],\n",
    "        title=\"Base\",\n",
    "        freq=\"M\",\n",
    "        x_label=\"Time\",\n",
    "        y_label=\"No. of Customers\"\n",
    "        )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can access the data generated by a scenario by saving it into a dataframe. You can do this by adding the `return_df` flag to `bptk.plot_scenario`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    " df=bptk.plot_scenarios(\n",
    "        scenario_managers=[\"smCustomerAcquisition\"],\n",
    "        scenarios=[\"base\"], \n",
    "        equations=['customers'],\n",
    "        title=\"Base\",\n",
    "        freq=\"M\",\n",
    "        x_label=\"Time\",\n",
    "        y_label=\"No. of Customers\",\n",
    "        return_df=True\n",
    "        )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataframe is indexed by time and stores the equations (in SD models) or agent properties (in Agent-based models) in the columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customers</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.0</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>800.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.0</th>\n",
       "      <td>1599.893333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>2399.680014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.0</th>\n",
       "      <td>3199.360057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.0</th>\n",
       "      <td>3998.933476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.0</th>\n",
       "      <td>4798.400284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.0</th>\n",
       "      <td>5597.760498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.0</th>\n",
       "      <td>6397.014130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.0</th>\n",
       "      <td>7196.161194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.0</th>\n",
       "      <td>7995.201706</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        customers\n",
       "t                \n",
       "0.0      0.000000\n",
       "1.0    800.000000\n",
       "2.0   1599.893333\n",
       "3.0   2399.680014\n",
       "4.0   3199.360057\n",
       "5.0   3998.933476\n",
       "6.0   4798.400284\n",
       "7.0   5597.760498\n",
       "8.0   6397.014130\n",
       "9.0   7196.161194\n",
       "10.0  7995.201706"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[0:10] # just show the first ten items"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The frameworks `bptk.plot_scenarios` method first runs the simulation using the setting defined in the scenario and stores the data in a dataframe. It then plots the dataframe using Pandas `df.plot`method.\n",
    "\n",
    "We can do the same:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "subplot=df.plot(None,\"customers\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The plot above doesn't look quite as neat as the plots created by `bptk.plot_scenarios`– this is because the framework applies some styling information. The styling information is stored in BPTK_Py.config, and you can access (and modify) it there.\n",
    "\n",
    "Now let's apply the config to `df.plot`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import BPTK_Py.config as config\n",
    "\n",
    "subplot=df.plot(kind=config.configuration[\"kind\"],\n",
    "                       alpha=config.configuration[\"alpha\"], stacked=config.configuration[\"stacked\"],\n",
    "                                                          figsize=config.configuration[\"figsize\"],\n",
    "                                                          title=\"Base\",\n",
    "                                                          color=config.configuration[\"colors\"],\n",
    "                                                          lw=config.configuration[\"linewidth\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Yes! We've recreated the plot from the high level `btpk.plot_scenarios` method using basic plotting functions.\n",
    "\n",
    "Now let's do something that currently isn't possible using the high-level BPTK-Py methods - let's create a graph that has two axes.\n",
    "\n",
    "This is useful when you want to show the results of two equations at the same time, but they have different orders of magnitudes. For instance in the plot below, the number of customers is much smaller than the profit made, so the customer graph looks like a straight line. But it would still be intersting to be able to compare the two graphs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    " bptk.plot_scenarios(\n",
    "        scenario_managers=[\"smCustomerAcquisition\"],\n",
    "        scenarios=[\"base\"], \n",
    "        equations=['customers','profit'],\n",
    "        title=\"Base\",\n",
    "        freq=\"M\",\n",
    "        x_label=\"Time\",\n",
    "        y_label=\"No. of Customers\"\n",
    "        )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As before, we collect the data in a dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    " df=bptk.plot_scenarios(\n",
    "        scenario_managers=[\"smCustomerAcquisition\"],\n",
    "        scenarios=[\"base\"], \n",
    "        equations=['customers','profit'],\n",
    "        title=\"Base\",\n",
    "        freq=\"M\",\n",
    "        x_label=\"Time\",\n",
    "        y_label=\"No. of Customers\",\n",
    "        return_df = True\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customers</th>\n",
       "      <th>profit</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.0</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>800.000000</td>\n",
       "      <td>-1.010000e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.0</th>\n",
       "      <td>1599.893333</td>\n",
       "      <td>-1.016000e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>2399.680014</td>\n",
       "      <td>-1.018001e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.0</th>\n",
       "      <td>3199.360057</td>\n",
       "      <td>-1.016002e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.0</th>\n",
       "      <td>3998.933476</td>\n",
       "      <td>-1.010005e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.0</th>\n",
       "      <td>4798.400284</td>\n",
       "      <td>-1.000011e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.0</th>\n",
       "      <td>5597.760498</td>\n",
       "      <td>-9.860187e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.0</th>\n",
       "      <td>6397.014130</td>\n",
       "      <td>-9.680299e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.0</th>\n",
       "      <td>7196.161194</td>\n",
       "      <td>-9.460448e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.0</th>\n",
       "      <td>7995.201706</td>\n",
       "      <td>-9.200640e+05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        customers        profit\n",
       "t                              \n",
       "0.0      0.000000 -1.000000e+06\n",
       "1.0    800.000000 -1.010000e+06\n",
       "2.0   1599.893333 -1.016000e+06\n",
       "3.0   2399.680014 -1.018001e+06\n",
       "4.0   3199.360057 -1.016002e+06\n",
       "5.0   3998.933476 -1.010005e+06\n",
       "6.0   4798.400284 -1.000011e+06\n",
       "7.0   5597.760498 -9.860187e+05\n",
       "8.0   6397.014130 -9.680299e+05\n",
       "9.0   7196.161194 -9.460448e+05\n",
       "10.0  7995.201706 -9.200640e+05"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[0:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plotting two axes is easy in Pandas (which itself uses the Matplotlib library):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.plot(None,'customers', kind=config.configuration[\"kind\"],\n",
    "                       alpha=config.configuration[\"alpha\"], stacked=config.configuration[\"stacked\"],\n",
    "                                                          figsize=config.configuration[\"figsize\"],\n",
    "                                                          title=\"Profit vs. Customers\",\n",
    "                                                          color=config.configuration[\"colors\"],\n",
    "                                                          lw=config.configuration[\"linewidth\"])\n",
    "# ax is a Matplotlib Axes object\n",
    "\n",
    "ax1 = ax.twinx()\n",
    "\n",
    "# Matplotlib.axes.Axes.twinx creates a twin y-axis.\n",
    "\n",
    "plot =df.plot(None,'profit',ax=ax1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Voila! This is actually quite easy one you understand how to access the data (and of course a little knowledge of Pandas and Matplotlib is also useful). If you were writing a document that needed a lot of plots of this kind, you could create your own high-level function to avoide having to copy and paste the code above multiple times."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Advanced interactive user interfaces\n",
    "Now let's try something a little more challenging: Let's build a dashboard for our simulation that let's you manipulate some of the scenrio settings interactively and plots results in tabs."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Note: You need to have widgets enabled in Jupyter for the following to work. Please check the [BPTK-Py installation instructions](https://bptk.transentis-labs.com/en/latest/docs/usage/installation.html) or refer to the [Jupyter Widgets](https://ipywidgets.readthedocs.io/en/latest/user_install.html) documentation "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we need to understand how to create tabs. For this we need to import the `ipywidget` Library and we also need to access Matplotlib's `pyplot`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from ipywidgets import interact\n",
    "import ipywidgets as widgets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we can create some tabs that display scenario results as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f754a543b3a74373bfa0a4f531a5bb75",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Tab(children=(Output(), Output()), _titles={'0': 'Customers', '1': 'Profit'})"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "out1 = widgets.Output()\n",
    "out2 = widgets.Output()\n",
    "\n",
    "tab = widgets.Tab(children = [out1, out2])\n",
    "tab.set_title(0, 'Customers')\n",
    "tab.set_title(1, 'Profit')\n",
    "display(tab)\n",
    "\n",
    "with out1:\n",
    "    # turn of pyplot's interactive mode to ensure the plot is not created directly\n",
    "    plt.ioff() \n",
    "    # create the plot, but don't show it yet\n",
    "    bptk.plot_scenarios(\n",
    "        scenario_managers=[\"smCustomerAcquisition\"],\n",
    "        scenarios=[\"hereWeGo\"], \n",
    "        equations=['customers'],\n",
    "        title=\"Here We Go\",\n",
    "        freq=\"M\",\n",
    "        x_label=\"Time\",\n",
    "        y_label=\"No. of Customers\"\n",
    "        )\n",
    "    # show the plot\n",
    "    plt.show()\n",
    "    # turn interactive mode on again\n",
    "    plt.ion()\n",
    "\n",
    "with out2:\n",
    "    plt.ioff()\n",
    "    bptk.plot_scenarios(\n",
    "        scenario_managers=[\"smCustomerAcquisition\"],\n",
    "        scenarios=[\"hereWeGo\"], \n",
    "        equations=['profit'],\n",
    "        title=\"Here We Go\",\n",
    "        freq=\"M\",\n",
    "        x_label=\"Time\",\n",
    "        y_label=\"Euro\"\n",
    "        )\n",
    "    plt.show()\n",
    "    plt.ion()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That was easy! The only thing you really need to understand is to turn interactive plotting in `pyplot` off before creating the tabs and then turn it on again to create the plots. If you forget to do that, the plots appear above the tabs (try it and see!). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the next step, we need to add some sliders to manipulate the following scenario settings:\n",
    "\n",
    "* Referrals\n",
    "* Referral Free Months\n",
    "* Referral Program Adoption %\n",
    "* Advertising Success %"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating a slider for the referrals is easy using the integer slider from the `ipywidgets` widget library:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "79e215c485f04749a1ce4ed67e5bef38",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "IntSlider(value=7, continuous_update=False, description='Referrals:', max=15)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "widgets.IntSlider(\n",
    "    value=7,\n",
    "    min=0,\n",
    "    max=15,\n",
    "    step=1,\n",
    "    description='Referrals:',\n",
    "    disabled=False,\n",
    "    continuous_update=False,\n",
    "    orientation='horizontal',\n",
    "    readout=True,\n",
    "    readout_format='d'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When manipulating a simulation model, we mostly want to start with a particular scenario and then manipulate some of the scenario settings using interactive widgets. Let's set up a new scenario for this purpose and call it `interactiveScenario`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "bptk.register_scenarios(scenario_manager=\"smCustomerAcquisition\", scenarios= \n",
    "                      {\n",
    "                          \"interactiveScenario\":{\n",
    "                              \"constants\":{\n",
    "                                 \"referrals\":0,\n",
    "                                  \"advertisingSuccessPct\":0.1,\n",
    "                                  \"referralFreeMonths\":3,\n",
    "                                  \"referralProgamAdoptionPct\":10\n",
    "                                }\n",
    "                          }\n",
    "                    }\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can then access the scenario using `bptk.get_scenarios`: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'referrals': 0,\n",
       " 'advertisingSuccessPct': 0.1,\n",
       " 'referralFreeMonths': 3,\n",
       " 'referralProgamAdoptionPct': 10,\n",
       " 'initialCustomers': 0,\n",
       " 'targetCustomerDilutionPct': 80,\n",
       " 'personsReachedPerEuro': 100,\n",
       " 'classicAdvertisingCost': 10000,\n",
       " 'targetMarket': 6000000,\n",
       " 'initialInvestmentInServive': 1000000,\n",
       " 'serviceMargin': 0.5,\n",
       " 'serviceFee': 10,\n",
       " 'referralAdvertisingCost': 10000,\n",
       " 'referralProgramAdoptionPct': 10}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scenario = bptk.get_scenario(\"smCustomerAcquisition\",\"interactiveScenario\")\n",
    "scenario.constants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bptk.plot_scenarios(scenario_managers=[\"smCustomerAcquisition\"],\n",
    "        scenarios=[\"interactiveScenario\"], \n",
    "        equations=['profit'],\n",
    "        title=\"Interactive Scenario\",\n",
    "        freq=\"M\",\n",
    "        x_label=\"Time\",\n",
    "        y_label=\"Euro\"\n",
    "        )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The scenario constants can be accessed in the constants variable:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we have all the right pieces, we can put them together using the interact function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "138b2aec592945ee986e1f8b6f5a3e33",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=0.1, continuous_update=False, description='Advertising Success Pct', m…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "@interact(advertising_success_pct=widgets.FloatSlider(\n",
    "    value=0.1,\n",
    "    min=0,\n",
    "    max=1,\n",
    "    step=0.01,\n",
    "    continuous_update=False,\n",
    "    description='Advertising Success Pct'\n",
    "))\n",
    "def dashboard(advertising_success_pct):\n",
    "    scenario= bptk.get_scenario(\"smCustomerAcquisition\",\n",
    "                                                                          \"interactiveScenario\")\n",
    "    \n",
    "    scenario.constants[\"advertisingSuccessPct\"]=advertising_success_pct\n",
    "    bptk.reset_scenario_cache(scenario_manager=\"smCustomerAcquisition\",\n",
    "                                                             scenario=\"interactiveScenario\")\n",
    "    bptk.plot_scenarios(scenario_managers=[\"smCustomerAcquisition\"],\n",
    "        scenarios=[\"interactiveScenario\"], \n",
    "        equations=['profit'],\n",
    "        title=\"Interactive Scenario\",\n",
    "        freq=\"M\",\n",
    "        x_label=\"Time\",\n",
    "        y_label=\"Euro\"\n",
    "        )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's combine this with the tabs from above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ca703b47407742bda363f1b585738464",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Tab(children=(Output(), Output()), _titles={'0': 'Customers', '1': 'Profit'})"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1f52016947174c388dff42f00fc83a4a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=0.1, continuous_update=False, description='Advertising Success Pct', m…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "out1 = widgets.Output()\n",
    "out2 = widgets.Output()\n",
    "\n",
    "\n",
    "tab = widgets.Tab(children = [out1, out2])\n",
    "tab.set_title(0, 'Customers')\n",
    "tab.set_title(1, 'Profit')\n",
    "display(tab)\n",
    "    \n",
    "@interact(advertising_success_pct=widgets.FloatSlider(\n",
    "    value=0.1,\n",
    "    min=0,\n",
    "    max=10,\n",
    "    step=0.01,\n",
    "    continuous_update=False,\n",
    "    description='Advertising Success Pct'\n",
    "))\n",
    "def dashboardWithTabs(advertising_success_pct):\n",
    "    scenario= bptk.get_scenario(\"smCustomerAcquisition\",\"interactiveScenario\")\n",
    "    \n",
    "    scenario.constants[\"advertisingSuccessPct\"]=advertising_success_pct\n",
    "    bptk.reset_scenario_cache(scenario_manager=\"smCustomerAcquisition\",\n",
    "                                                             scenario=\"interactiveScenario\")\n",
    "   \n",
    "   \n",
    "     \n",
    "    with out1:\n",
    "        # turn of pyplot's interactive mode to ensure the plot is not created directly\n",
    "        plt.ioff() \n",
    "        # clear the widgets output ... otherwise we will end up with a long list of plots, one for each change of settings\n",
    "        \n",
    "        # create the plot, but don't show it yet\n",
    "        bptk.plot_scenarios(\n",
    "            scenario_managers=[\"smCustomerAcquisition\"],\n",
    "            scenarios=[\"interactiveScenario\"], \n",
    "            equations=['customers'],\n",
    "            title=\"Interactive Scenario\",\n",
    "            freq=\"M\",\n",
    "            x_label=\"Time\",\n",
    "            y_label=\"No. of Customers\"\n",
    "            )\n",
    "        # show the plot\n",
    "        out1.clear_output() \n",
    "        plt.show()\n",
    "        # turn interactive mode on again\n",
    "        plt.ion()\n",
    "\n",
    "    with out2:\n",
    "        plt.ioff()\n",
    "        out2.clear_output()\n",
    "        bptk.plot_scenarios(\n",
    "            scenario_managers=[\"smCustomerAcquisition\"],\n",
    "            scenarios=[\"interactiveScenario\"], \n",
    "            equations=['profit'],\n",
    "            title=\"Interactive Scenario\",\n",
    "            freq=\"M\",\n",
    "            x_label=\"Time\",\n",
    "            y_label=\"Euro\"\n",
    "            )\n",
    "        plt.show()\n",
    "        plt.ion()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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